Overview

Brought to you by YData

Dataset statistics

Number of variables	26
Number of observations	197
Missing cells	2
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	176.1 KiB
Average record size in memory	915.3 B

Variable types

Text	2
DateTime	2
Categorical	14
Numeric	8

Alerts

`cluster_k5` has constant value "2"	Constant
`antiguedad` is highly overall correlated with `periodo_preinscripcion`	High correlation
`cant_Apoderado` is highly overall correlated with `cant_sinMontoLimite`	High correlation
`cant_antecedentes` is highly overall correlated with `cant_suspensiones`	High correlation
`cant_autenticado` is highly overall correlated with `cant_sinMontoLimite`	High correlation
`cant_noAutenticado` is highly overall correlated with `cant_sinMontoLimite`	High correlation
`cant_procesos_adjudicado` is highly overall correlated with `monto_total_adjudicado`	High correlation
`cant_representante` is highly overall correlated with `dmonto_total_adjudicado`	High correlation
`cant_sinMontoLimite` is highly overall correlated with `cant_Apoderado` and 2 other fields	High correlation
`cant_suspensiones` is highly overall correlated with `cant_antecedentes`	High correlation
`dmonto_total_adjudicado` is highly overall correlated with `cant_representante`	High correlation
`monto_total_adjudicado` is highly overall correlated with `cant_procesos_adjudicado`	High correlation
`periodo_preinscripcion` is highly overall correlated with `antiguedad`	High correlation
`Estado` is highly imbalanced (70.9%)	Imbalance
`provincia` is highly imbalanced (51.5%)	Imbalance
`cant_autenticado` is highly imbalanced (66.0%)	Imbalance
`cant_noAutenticado` is highly imbalanced (56.4%)	Imbalance
`cant_MontoLimite` is highly imbalanced (86.3%)	Imbalance
`CUIT` has unique values	Unique
`monto_total_adjudicado` has unique values	Unique
`cant_socios` has 45 (22.8%) zeros	Zeros
`cant_suspensiones` has 107 (54.3%) zeros	Zeros
`cant_antecedentes` has 3 (1.5%) zeros	Zeros

Reproduction

Analysis started	2025-07-08 14:19:22.087184
Analysis finished	2025-07-08 14:19:28.164292
Duration	6.08 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

CUIT
Text

Unique

Distinct	197
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	14.6 KiB

Length

Max length	12
Median length	11
Mean length	10.994924
Min length	9

Characters and Unicode

Total characters	2166
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	197 ?
Unique (%)	100.0%

Sample

1st row	30711500363
2nd row	30590151013
3rd row	30678561165
4th row	30591267759
5th row	30702024834

Value	Count	Frequency (%)
30711500363	1	0.5%
30590151013	1	0.5%
30678561165	1	0.5%
30591267759	1	0.5%
30702024834	1	0.5%
30623295946	1	0.5%
30673249902	1	0.5%
30714236888	1	0.5%
30710362218	1	0.5%
30710828608	1	0.5%
Other values (187)	187	94.9%

Most occurring characters

Value	Count	Frequency (%)
0	356	16.4%
3	304	14.0%
7	249	11.5%
2	238	11.0%
1	199	9.2%
6	196	9.0%
9	171	7.9%
8	162	7.5%
5	155	7.2%
4	135	6.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2166	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	356	16.4%
3	304	14.0%
7	249	11.5%
2	238	11.0%
1	199	9.2%
6	196	9.0%
9	171	7.9%
8	162	7.5%
5	155	7.2%
4	135	6.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2166	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	356	16.4%
3	304	14.0%
7	249	11.5%
2	238	11.0%
1	199	9.2%
6	196	9.0%
9	171	7.9%
8	162	7.5%
5	155	7.2%
4	135	6.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2166	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	356	16.4%
3	304	14.0%
7	249	11.5%
2	238	11.0%
1	199	9.2%
6	196	9.0%
9	171	7.9%
8	162	7.5%
5	155	7.2%
4	135	6.2%

Nombre
Text

Distinct	192
Distinct (%)	97.5%
Missing	0
Missing (%)	0.0%
Memory size	16.4 KiB

Length

Max length	67
Median length	34
Mean length	18.558376
Min length	3

Characters and Unicode

Total characters	3656
Distinct characters	64
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	191 ?
Unique (%)	97.0%

Sample

1st row	LICICOM S.R.L.
2nd row	VIDITEC S.A..
3rd row	NACION SEGUROS S.A.
4th row	ERRE-DE SRL
5th row	Datastar Argentina S.A.

Value	Count	Frequency (%)
s.a	57	10.1%
srl	36	6.4%
s.r.l	21	3.7%
sa	20	3.6%
argentina	13	2.3%
y	11	2.0%
de	10	1.8%
datos	6	1.1%
sin	6	1.1%
s	5	0.9%
Other values (338)	377	67.1%

Most occurring characters

Value	Count	Frequency (%)
	365	10.0%
A	289	7.9%
S	267	7.3%
R	227	6.2%
E	199	5.4%
I	198	5.4%
.	186	5.1%
N	145	4.0%
O	140	3.8%
L	135	3.7%
Other values (54)	1505	41.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3656	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	365	10.0%
A	289	7.9%
S	267	7.3%
R	227	6.2%
E	199	5.4%
I	198	5.4%
.	186	5.1%
N	145	4.0%
O	140	3.8%
L	135	3.7%
Other values (54)	1505	41.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3656	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	365	10.0%
A	289	7.9%
S	267	7.3%
R	227	6.2%
E	199	5.4%
I	198	5.4%
.	186	5.1%
N	145	4.0%
O	140	3.8%
L	135	3.7%
Other values (54)	1505	41.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3656	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	365	10.0%
A	289	7.9%
S	267	7.3%
R	227	6.2%
E	199	5.4%
I	198	5.4%
.	186	5.1%
N	145	4.0%
O	140	3.8%
L	135	3.7%
Other values (54)	1505	41.2%

FechaPreinscripcion
Date

Distinct	154
Distinct (%)	78.2%
Missing	0
Missing (%)	0.0%
Memory size	3.1 KiB

Minimum	2016-02-08 00:00:00
Maximum	2020-10-16 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Estado
Categorical

Imbalance

Distinct	8
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	14.6 KiB

Inscripto	172
Desactualizado Por Documentos Vencidos	7
Suspendido	5
Con Solicitud De Baja	4
Desactualizado Por Mantencion Formulario	4
Other values (3)	5

Length

Max length	40
Median length	9
Mean length	11.086294
Min length	9

Characters and Unicode

Total characters	2184
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.0%

Sample

1st row	Inscripto
2nd row	Inscripto
3rd row	Inscripto
4th row	Inscripto
5th row	Inscripto

Common Values

Value	Count	Frequency (%)
Inscripto	172	87.3%
Desactualizado Por Documentos Vencidos	7	3.6%
Suspendido	5	2.5%
Con Solicitud De Baja	4	2.0%
Desactualizado Por Mantencion Formulario	4	2.0%
Pre Inscripto	3	1.5%
En Evaluacion	1	0.5%
Desactualizado Por Clase	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
inscripto	175	70.6%
desactualizado	12	4.8%
por	12	4.8%
documentos	7	2.8%
vencidos	7	2.8%
suspendido	5	2.0%
con	4	1.6%
solicitud	4	1.6%
de	4	1.6%
baja	4	1.6%
Other values (6)	14	5.6%

Most occurring characters

Value	Count	Frequency (%)
o	246	11.3%
i	216	9.9%
n	212	9.7%
c	210	9.6%
s	207	9.5%
t	202	9.2%
r	198	9.1%
p	180	8.2%
I	175	8.0%
a	55	2.5%
Other values (18)	283	13.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2184	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	246	11.3%
i	216	9.9%
n	212	9.7%
c	210	9.6%
s	207	9.5%
t	202	9.2%
r	198	9.1%
p	180	8.2%
I	175	8.0%
a	55	2.5%
Other values (18)	283	13.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2184	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	246	11.3%
i	216	9.9%
n	212	9.7%
c	210	9.6%
s	207	9.5%
t	202	9.2%
r	198	9.1%
p	180	8.2%
I	175	8.0%
a	55	2.5%
Other values (18)	283	13.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2184	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	246	11.3%
i	216	9.9%
n	212	9.7%
c	210	9.6%
s	207	9.5%
t	202	9.2%
r	198	9.1%
p	180	8.2%
I	175	8.0%
a	55	2.5%
Other values (18)	283	13.0%

TipoSocietario
Categorical

Distinct	7
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	21.7 KiB

Sociedad Anónima	80
Sociedad Responsabilidad Limitada	60
Persona Física	44
Otras Formas Societarias	7
Sociedades De Hecho	3
Other values (2)	3

Length

Max length	40
Median length	33
Mean length	21.309645
Min length	14

Characters and Unicode

Total characters	4198
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.5%

Sample

1st row	Sociedad Responsabilidad Limitada
2nd row	Sociedad Anónima
3rd row	Sociedad Anónima
4th row	Sociedad Responsabilidad Limitada
5th row	Sociedad Anónima

Common Values

Value	Count	Frequency (%)
Sociedad Anónima	80	40.6%
Sociedad Responsabilidad Limitada	60	30.5%
Persona Física	44	22.3%
Otras Formas Societarias	7	3.6%
Sociedades De Hecho	3	1.5%
Persona Jurídica Extranjero Sin Sucursal	2	1.0%
Organismo Publico	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sociedad	140	29.8%
anónima	80	17.0%
responsabilidad	60	12.8%
limitada	60	12.8%
persona	46	9.8%
física	44	9.4%
otras	7	1.5%
formas	7	1.5%
societarias	7	1.5%
sociedades	3	0.6%
Other values (8)	16	3.4%

Most occurring characters

Value	Count	Frequency (%)
a	588	14.0%
i	527	12.6%
d	468	11.1%
	273	6.5%
n	271	6.5%
o	270	6.4%
e	267	6.4%
s	237	5.6%
c	202	4.8%
S	154	3.7%
Other values (23)	941	22.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4198	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	588	14.0%
i	527	12.6%
d	468	11.1%
	273	6.5%
n	271	6.5%
o	270	6.4%
e	267	6.4%
s	237	5.6%
c	202	4.8%
S	154	3.7%
Other values (23)	941	22.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4198	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	588	14.0%
i	527	12.6%
d	468	11.1%
	273	6.5%
n	271	6.5%
o	270	6.4%
e	267	6.4%
s	237	5.6%
c	202	4.8%
S	154	3.7%
Other values (23)	941	22.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4198	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	588	14.0%
i	527	12.6%
d	468	11.1%
	273	6.5%
n	271	6.5%
o	270	6.4%
e	267	6.4%
s	237	5.6%
c	202	4.8%
S	154	3.7%
Other values (23)	941	22.4%

periodo_preinscripcion
Real number (ℝ)

High correlation

Distinct	40
Distinct (%)	20.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	201688.73

Minimum	201607
Maximum	202010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.1 KiB

Quantile statistics

Minimum	201607
5-th percentile	201608
Q1	201611
median	201701
Q3	201706
95-th percentile	201902.4
Maximum	202010
Range	403
Interquartile range (IQR)	95

Descriptive statistics

Standard deviation	88.146583
Coefficient of variation (CV)	0.00043704268
Kurtosis	1.8652576
Mean	201688.73
Median Absolute Deviation (MAD)	90
Skewness	1.3240382
Sum	39732680
Variance	7769.8201
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
201611	23	11.7%
201701	23	11.7%
201610	20	10.2%
201612	15	7.6%
201703	13	6.6%
201609	12	6.1%
201702	10	5.1%
201608	9	4.6%
201704	9	4.6%
201706	5	2.5%
Other values (30)	58	29.4%

Value	Count	Frequency (%)
201607	4	2.0%
201608	9	4.6%
201609	12	6.1%
201610	20	10.2%
201611	23	11.7%
201612	15	7.6%
201701	23	11.7%
201702	10	5.1%
201703	13	6.6%
201704	9	4.6%

Value	Count	Frequency (%)
202010	1	0.5%
202009	1	0.5%
202001	1	0.5%
201911	1	0.5%
201910	2	1.0%
201908	1	0.5%
201907	1	0.5%
201906	1	0.5%
201904	1	0.5%
201902	1	0.5%

anio_preinscripcion
Date

Distinct	5
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	3.1 KiB

Minimum	2016-01-01 00:00:00
Maximum	2020-01-01 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=5)

cant_procesos_adjudicado
Real number (ℝ)

High correlation

Distinct	106
Distinct (%)	53.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	112.65482

Minimum	0
Maximum	1214
Zeros	1
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	3.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1.8
Q1	7
median	29
Q3	111
95-th percentile	582.2
Maximum	1214
Range	1214
Interquartile range (IQR)	104

Descriptive statistics

Standard deviation	209.348
Coefficient of variation (CV)	1.8583137
Kurtosis	10.088762
Mean	112.65482
Median Absolute Deviation (MAD)	26
Skewness	3.0928723
Sum	22193
Variance	43826.584
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	14	7.1%
1	9	4.6%
2	9	4.6%
22	7	3.6%
5	7	3.6%
13	5	2.5%
8	4	2.0%
6	4	2.0%
14	4	2.0%
47	3	1.5%
Other values (96)	131	66.5%

Value	Count	Frequency (%)
0	1	0.5%
1	9	4.6%
2	9	4.6%
3	14	7.1%
4	3	1.5%
5	7	3.6%
6	4	2.0%
7	3	1.5%
8	4	2.0%
10	2	1.0%

Value	Count	Frequency (%)
1214	1	0.5%
1102	1	0.5%
989	1	0.5%
895	1	0.5%
889	1	0.5%
864	1	0.5%
804	1	0.5%
792	1	0.5%
649	1	0.5%
635	1	0.5%

monto_total_adjudicado
Real number (ℝ)

High correlation Unique

Distinct	197
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.5131948 × 10⁸

Minimum	0
Maximum	6.9338191 × 10⁹
Zeros	1
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	3.1 KiB

Quantile statistics

Minimum	0
5-th percentile	528136.25
Q1	7242920.7
median	35279444
Q3	1.7485866 × 10⁸
95-th percentile	7.6927122 × 10⁸
Maximum	6.9338191 × 10⁹
Range	6.9338191 × 10⁹
Interquartile range (IQR)	1.6761573 × 10⁸

Descriptive statistics

Standard deviation	7.6536902 × 10⁸
Coefficient of variation (CV)	3.0454027
Kurtosis	46.09178
Mean	2.5131948 × 10⁸
Median Absolute Deviation (MAD)	34090772
Skewness	6.3287812
Sum	4.9509937 × 10¹⁰
Variance	5.8578974 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7425067.382	1	0.5%
27146231.22	1	0.5%
6933819091	1	0.5%
137988939	1	0.5%
3182253860	1	0.5%
7831100.398	1	0.5%
1375720032	1	0.5%
7242920.713	1	0.5%
86070142.1	1	0.5%
64475958.4	1	0.5%
Other values (187)	187	94.9%

Value	Count	Frequency (%)
0	1	0.5%
6872	1	0.5%
23910.30243	1	0.5%
42000	1	0.5%
84943.48	1	0.5%
100200	1	0.5%
213056.6512	1	0.5%
240550.6182	1	0.5%
386494.5	1	0.5%
508479.1785	1	0.5%

Value	Count	Frequency (%)
6933819091	1	0.5%
5903229493	1	0.5%
3182253860	1	0.5%
3132430594	1	0.5%
2548401882	1	0.5%
2252733473	1	0.5%
1375720032	1	0.5%
1375349531	1	0.5%
943321354.4	1	0.5%
780426628.5	1	0.5%

antiguedad
Categorical

High correlation

Distinct	5
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	13.1 KiB

5.0	83
4.0	81
3.0	22
2.0	8
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	591
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	5.0
3rd row	5.0
4th row	5.0
5th row	5.0

Common Values

Value	Count	Frequency (%)
5.0	83	42.1%
4.0	81	41.1%
3.0	22	11.2%
2.0	8	4.1%
1.0	3	1.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5.0	83	42.1%
4.0	81	41.1%
3.0	22	11.2%
2.0	8	4.1%
1.0	3	1.5%

Most occurring characters

Value	Count	Frequency (%)
.	197	33.3%
0	197	33.3%
5	83	14.0%
4	81	13.7%
3	22	3.7%
2	8	1.4%
1	3	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	197	33.3%
0	197	33.3%
5	83	14.0%
4	81	13.7%
3	22	3.7%
2	8	1.4%
1	3	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	197	33.3%
0	197	33.3%
5	83	14.0%
4	81	13.7%
3	22	3.7%
2	8	1.4%
1	3	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	197	33.3%
0	197	33.3%
5	83	14.0%
4	81	13.7%
3	22	3.7%
2	8	1.4%
1	3	0.5%

provincia
Categorical

Imbalance

Distinct	13
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Memory size	23.5 KiB

Ciudad Autónoma de Buenos Aires	115
Buenos Aires	54
Santa Fe	7
Córdoba	7
San Juan	3
Other values (8)	11

Length

Max length	31
Median length	31
Mean length	22.532995
Min length	7

Characters and Unicode

Total characters	4439
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	2.5%

Sample

1st row	Ciudad Autónoma de Buenos Aires
2nd row	Ciudad Autónoma de Buenos Aires
3rd row	Ciudad Autónoma de Buenos Aires
4th row	Buenos Aires
5th row	Ciudad Autónoma de Buenos Aires

Common Values

Value	Count	Frequency (%)
Ciudad Autónoma de Buenos Aires	115	58.4%
Buenos Aires	54	27.4%
Santa Fe	7	3.6%
Córdoba	7	3.6%
San Juan	3	1.5%
Corrientes	2	1.0%
San Luis	2	1.0%
Extranjera	2	1.0%
Rio Negro	1	0.5%
La Rioja	1	0.5%
Other values (3)	3	1.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
aires	169	23.3%
buenos	169	23.3%
ciudad	115	15.8%
de	115	15.8%
autónoma	115	15.8%
santa	7	1.0%
fe	7	1.0%
córdoba	7	1.0%
san	5	0.7%
juan	3	0.4%
Other values (11)	14	1.9%

Most occurring characters

Value	Count	Frequency (%)
	529	11.9%
e	469	10.6%
u	406	9.1%
d	353	8.0%
s	343	7.7%
n	306	6.9%
o	298	6.7%
i	291	6.6%
A	284	6.4%
a	266	6.0%
Other values (22)	894	20.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4439	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	529	11.9%
e	469	10.6%
u	406	9.1%
d	353	8.0%
s	343	7.7%
n	306	6.9%
o	298	6.7%
i	291	6.6%
A	284	6.4%
a	266	6.0%
Other values (22)	894	20.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4439	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	529	11.9%
e	469	10.6%
u	406	9.1%
d	353	8.0%
s	343	7.7%
n	306	6.9%
o	298	6.7%
i	291	6.6%
A	284	6.4%
a	266	6.0%
Other values (22)	894	20.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4439	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	529	11.9%
e	469	10.6%
u	406	9.1%
d	353	8.0%
s	343	7.7%
n	306	6.9%
o	298	6.7%
i	291	6.6%
A	284	6.4%
a	266	6.0%
Other values (22)	894	20.1%

cant_socios
Real number (ℝ)

Zeros

Distinct	6
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.4619289

Minimum	0
Maximum	5
Zeros	45
Zeros (%)	22.8%
Negative	0
Negative (%)	0.0%
Memory size	3.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	2
95-th percentile	3.2
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1270434
Coefficient of variation (CV)	0.77092901
Kurtosis	0.42303727
Mean	1.4619289
Median Absolute Deviation (MAD)	1
Skewness	0.61412749
Sum	288
Variance	1.2702269
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	71	36.0%
1	55	27.9%
0	45	22.8%
3	16	8.1%
4	7	3.6%
5	3	1.5%

Value	Count	Frequency (%)
0	45	22.8%
1	55	27.9%
2	71	36.0%
3	16	8.1%
4	7	3.6%
5	3	1.5%

Value	Count	Frequency (%)
5	3	1.5%
4	7	3.6%
3	16	8.1%
2	71	36.0%
1	55	27.9%
0	45	22.8%

cant_apercibimientos
Categorical

Distinct	4
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	13.1 KiB

1.0	129
0.0	58
2.0	9
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	591
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.5%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	129	65.5%
0.0	58	29.4%
2.0	9	4.6%
3.0	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	129	65.5%
0.0	58	29.4%
2.0	9	4.6%
3.0	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	255	43.1%
.	197	33.3%
1	129	21.8%
2	9	1.5%
3	1	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	255	43.1%
.	197	33.3%
1	129	21.8%
2	9	1.5%
3	1	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	255	43.1%
.	197	33.3%
1	129	21.8%
2	9	1.5%
3	1	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	255	43.1%
.	197	33.3%
1	129	21.8%
2	9	1.5%
3	1	0.2%

cant_suspensiones
Real number (ℝ)

High correlation Zeros

Distinct	8
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.93908629

Minimum	0
Maximum	7
Zeros	107
Zeros (%)	54.3%
Negative	0
Negative (%)	0.0%
Memory size	3.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	3
Maximum	7
Range	7
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.2882298
Coefficient of variation (CV)	1.3717906
Kurtosis	3.8770301
Mean	0.93908629
Median Absolute Deviation (MAD)	0
Skewness	1.7202047
Sum	185
Variance	1.6595359
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	107	54.3%
2	48	24.4%
1	27	13.7%
3	6	3.0%
4	5	2.5%
6	2	1.0%
5	1	0.5%
7	1	0.5%

Value	Count	Frequency (%)
0	107	54.3%
1	27	13.7%
2	48	24.4%
3	6	3.0%
4	5	2.5%
5	1	0.5%
6	2	1.0%
7	1	0.5%

Value	Count	Frequency (%)
7	1	0.5%
6	2	1.0%
5	1	0.5%
4	5	2.5%
3	6	3.0%
2	48	24.4%
1	27	13.7%
0	107	54.3%

cant_antecedentes
Real number (ℝ)

High correlation Zeros

Distinct	9
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.7969543

Minimum	0
Maximum	8
Zeros	3
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	3.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	4
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.2286507
Coefficient of variation (CV)	0.68374064
Kurtosis	5.8694514
Mean	1.7969543
Median Absolute Deviation (MAD)	0
Skewness	2.1617355
Sum	354
Variance	1.5095825
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	100	50.8%
2	62	31.5%
3	15	7.6%
4	8	4.1%
5	4	2.0%
6	3	1.5%
0	3	1.5%
7	1	0.5%
8	1	0.5%

Value	Count	Frequency (%)
0	3	1.5%
1	100	50.8%
2	62	31.5%
3	15	7.6%
4	8	4.1%
5	4	2.0%
6	3	1.5%
7	1	0.5%
8	1	0.5%

Value	Count	Frequency (%)
8	1	0.5%
7	1	0.5%
6	3	1.5%
5	4	2.0%
4	8	4.1%
3	15	7.6%
2	62	31.5%
1	100	50.8%
0	3	1.5%

cant_Apoderado
Categorical

High correlation

Distinct	5
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	13.1 KiB

1.0	117
0.0	56
2.0	17
3.0	4
4.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	591
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	1.0
4th row	3.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	117	59.4%
0.0	56	28.4%
2.0	17	8.6%
3.0	4	2.0%
4.0	3	1.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	117	59.4%
0.0	56	28.4%
2.0	17	8.6%
3.0	4	2.0%
4.0	3	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	253	42.8%
.	197	33.3%
1	117	19.8%
2	17	2.9%
3	4	0.7%
4	3	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	253	42.8%
.	197	33.3%
1	117	19.8%
2	17	2.9%
3	4	0.7%
4	3	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	253	42.8%
.	197	33.3%
1	117	19.8%
2	17	2.9%
3	4	0.7%
4	3	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	253	42.8%
.	197	33.3%
1	117	19.8%
2	17	2.9%
3	4	0.7%
4	3	0.5%

cant_representante
Categorical

High correlation

Distinct	4
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	13.1 KiB

0.0	102
1.0	81
2.0	13
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	591
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.5%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
0.0	102	51.8%
1.0	81	41.1%
2.0	13	6.6%
3.0	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	102	51.8%
1.0	81	41.1%
2.0	13	6.6%
3.0	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	299	50.6%
.	197	33.3%
1	81	13.7%
2	13	2.2%
3	1	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	299	50.6%
.	197	33.3%
1	81	13.7%
2	13	2.2%
3	1	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	299	50.6%
.	197	33.3%
1	81	13.7%
2	13	2.2%
3	1	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	299	50.6%
.	197	33.3%
1	81	13.7%
2	13	2.2%
3	1	0.2%

cant_autenticado
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	13.1 KiB

1.0	164
2.0	28
3.0	3
4.0	1
5.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	591
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	164	83.2%
2.0	28	14.2%
3.0	3	1.5%
4.0	1	0.5%
5.0	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	164	83.2%
2.0	28	14.2%
3.0	3	1.5%
4.0	1	0.5%
5.0	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
.	197	33.3%
0	197	33.3%
1	164	27.7%
2	28	4.7%
3	3	0.5%
4	1	0.2%
5	1	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	197	33.3%
0	197	33.3%
1	164	27.7%
2	28	4.7%
3	3	0.5%
4	1	0.2%
5	1	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	197	33.3%
0	197	33.3%
1	164	27.7%
2	28	4.7%
3	3	0.5%
4	1	0.2%
5	1	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	197	33.3%
0	197	33.3%
1	164	27.7%
2	28	4.7%
3	3	0.5%
4	1	0.2%
5	1	0.2%

cant_noAutenticado
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	13.1 KiB

0.0	159
1.0	31
2.0	5
3.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	591
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
0.0	159	80.7%
1.0	31	15.7%
2.0	5	2.5%
3.0	2	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	159	80.7%
1.0	31	15.7%
2.0	5	2.5%
3.0	2	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	356	60.2%
.	197	33.3%
1	31	5.2%
2	5	0.8%
3	2	0.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	356	60.2%
.	197	33.3%
1	31	5.2%
2	5	0.8%
3	2	0.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	356	60.2%
.	197	33.3%
1	31	5.2%
2	5	0.8%
3	2	0.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	356	60.2%
.	197	33.3%
1	31	5.2%
2	5	0.8%
3	2	0.3%

cant_sinMontoLimite
Real number (ℝ)

High correlation

Distinct	6
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.4111675

Minimum	0
Maximum	5
Zeros	1
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	3.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.76829865
Coefficient of variation (CV)	0.54444185
Kurtosis	6.1346082
Mean	1.4111675
Median Absolute Deviation (MAD)	0
Skewness	2.2798528
Sum	278
Variance	0.59028281
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	136	69.0%
2	47	23.9%
3	6	3.0%
4	5	2.5%
5	2	1.0%
0	1	0.5%

Value	Count	Frequency (%)
0	1	0.5%
1	136	69.0%
2	47	23.9%
3	6	3.0%
4	5	2.5%
5	2	1.0%

Value	Count	Frequency (%)
5	2	1.0%
4	5	2.5%
3	6	3.0%
2	47	23.9%
1	136	69.0%
0	1	0.5%

cant_MontoLimite
Categorical

Imbalance

Distinct	3
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	13.1 KiB

0.0	191
1.0	5
2.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	591
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.5%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	191	97.0%
1.0	5	2.5%
2.0	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	191	97.0%
1.0	5	2.5%
2.0	1	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	388	65.7%
.	197	33.3%
1	5	0.8%
2	1	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	388	65.7%
.	197	33.3%
1	5	0.8%
2	1	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	388	65.7%
.	197	33.3%
1	5	0.8%
2	1	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	591	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	388	65.7%
.	197	33.3%
1	5	0.8%
2	1	0.2%

total_articulos_provee
Real number (ℝ)

Distinct	146
Distinct (%)	74.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	416.82234

Minimum	1
Maximum	6661
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.1 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	25
median	77
Q3	329
95-th percentile	2118.8
Maximum	6661
Range	6660
Interquartile range (IQR)	304

Descriptive statistics

Standard deviation	983.21762
Coefficient of variation (CV)	2.358841
Kurtosis	19.241767
Mean	416.82234
Median Absolute Deviation (MAD)	69
Skewness	4.1744615
Sum	82114
Variance	966716.88
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	7	3.6%
31	5	2.5%
5	5	2.5%
3	4	2.0%
47	4	2.0%
30	3	1.5%
37	3	1.5%
16	3	1.5%
46	3	1.5%
105	3	1.5%
Other values (136)	157	79.7%

Value	Count	Frequency (%)
1	7	3.6%
2	1	0.5%
3	4	2.0%
4	2	1.0%
5	5	2.5%
6	3	1.5%
7	2	1.0%
8	1	0.5%
9	3	1.5%
10	1	0.5%

Value	Count	Frequency (%)
6661	1	0.5%
6064	1	0.5%
5765	1	0.5%
3956	1	0.5%
3686	1	0.5%
3605	1	0.5%
3387	1	0.5%
3210	1	0.5%
3109	1	0.5%
2566	1	0.5%

dmonto_total_adjudicado
Categorical

High correlation

Distinct	20
Distinct (%)	10.2%
Missing	1
Missing (%)	0.5%
Memory size	17.6 KiB

(222964579.98, 46172150151.0]	43
(89439449.702, 222964579.98]	31
(46718747.516, 89439449.702]	21
(19975532.58, 30451916.51]	17
(6702697.888, 9424898.401]	14
Other values (15)	70

Length

Max length	29
Median length	28
Mean length	26.693878
Min length	19

Characters and Unicode

Total characters	5232
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	1.5%

Sample

1st row	(6702697.888, 9424898.401]
2nd row	(19975532.58, 30451916.51]
3rd row	(222964579.98, 46172150151.0]
4th row	(89439449.702, 222964579.98]
5th row	(222964579.98, 46172150151.0]

Common Values

Value	Count	Frequency (%)
(222964579.98, 46172150151.0]	43	21.8%
(89439449.702, 222964579.98]	31	15.7%
(46718747.516, 89439449.702]	21	10.7%
(19975532.58, 30451916.51]	17	8.6%
(6702697.888, 9424898.401]	14	7.1%
(13557176.81, 19975532.58]	11	5.6%
(30451916.51, 46718747.516]	7	3.6%
(9424898.401, 13557176.81]	7	3.6%
(2483085.385, 3396600.0]	7	3.6%
(890758.9, 1302657.558]	7	3.6%
Other values (10)	31	15.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
222964579.98	74	18.9%
89439449.702	52	13.3%
46172150151.0	43	11.0%
46718747.516	28	7.1%
19975532.58	28	7.1%
30451916.51	24	6.1%
9424898.401	21	5.4%
6702697.888	20	5.1%
13557176.81	18	4.6%
2483085.385	13	3.3%
Other values (11)	71	18.1%

Most occurring characters

Value	Count	Frequency (%)
9	589	11.3%
1	471	9.0%
4	445	8.5%
7	440	8.4%
5	437	8.4%
2	433	8.3%
.	392	7.5%
8	378	7.2%
0	308	5.9%
6	303	5.8%
Other values (6)	1036	19.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5232	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
9	589	11.3%
1	471	9.0%
4	445	8.5%
7	440	8.4%
5	437	8.4%
2	433	8.3%
.	392	7.5%
8	378	7.2%
0	308	5.9%
6	303	5.8%
Other values (6)	1036	19.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5232	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
9	589	11.3%
1	471	9.0%
4	445	8.5%
7	440	8.4%
5	437	8.4%
2	433	8.3%
.	392	7.5%
8	378	7.2%
0	308	5.9%
6	303	5.8%
Other values (6)	1036	19.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5232	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
9	589	11.3%
1	471	9.0%
4	445	8.5%
7	440	8.4%
5	437	8.4%
2	433	8.3%
.	392	7.5%
8	378	7.2%
0	308	5.9%
6	303	5.8%
Other values (6)	1036	19.8%

dcant_procesos_adjudicado
Categorical

Distinct	10
Distinct (%)	5.1%
Missing	1
Missing (%)	0.5%
Memory size	14.9 KiB

(39.0, 1214.0]	90
(19.0, 39.0]	28
(0.999, 2.0]	18
(12.0, 19.0]	18
(2.0, 3.0]	14
Other values (5)	28

Length

Max length	14
Median length	12
Mean length	12.52551
Min length	10

Characters and Unicode

Total characters	2455
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	(19.0, 39.0]
2nd row	(39.0, 1214.0]
3rd row	(39.0, 1214.0]
4th row	(39.0, 1214.0]
5th row	(39.0, 1214.0]

Common Values

Value	Count	Frequency (%)
(39.0, 1214.0]	90	45.7%
(19.0, 39.0]	28	14.2%
(0.999, 2.0]	18	9.1%
(12.0, 19.0]	18	9.1%
(2.0, 3.0]	14	7.1%
(8.0, 12.0]	7	3.6%
(4.0, 5.0]	7	3.6%
(6.0, 8.0]	7	3.6%
(5.0, 6.0]	4	2.0%
(3.0, 4.0]	3	1.5%
(Missing)	1	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
39.0	118	30.1%
1214.0	90	23.0%
19.0	46	11.7%
2.0	32	8.2%
12.0	25	6.4%
0.999	18	4.6%
3.0	17	4.3%
8.0	14	3.6%
5.0	11	2.8%
6.0	11	2.8%

Most occurring characters

Value	Count	Frequency (%)
0	392	16.0%
.	392	16.0%
1	251	10.2%
9	218	8.9%
,	196	8.0%
(	196	8.0%
]	196	8.0%
	196	8.0%
2	147	6.0%
3	135	5.5%
Other values (4)	136	5.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2455	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	392	16.0%
.	392	16.0%
1	251	10.2%
9	218	8.9%
,	196	8.0%
(	196	8.0%
]	196	8.0%
	196	8.0%
2	147	6.0%
3	135	5.5%
Other values (4)	136	5.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2455	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	392	16.0%
.	392	16.0%
1	251	10.2%
9	218	8.9%
,	196	8.0%
(	196	8.0%
]	196	8.0%
	196	8.0%
2	147	6.0%
3	135	5.5%
Other values (4)	136	5.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2455	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	392	16.0%
.	392	16.0%
1	251	10.2%
9	218	8.9%
,	196	8.0%
(	196	8.0%
]	196	8.0%
	196	8.0%
2	147	6.0%
3	135	5.5%
Other values (4)	136	5.5%

dtotal_articulos_provee
Categorical

Distinct	15
Distinct (%)	7.6%
Missing	0
Missing (%)	0.0%
Memory size	15.0 KiB

(345.0, 6993.0]	48
(161.0, 345.0]	21
(97.6, 161.0]	21
(58.0, 97.6]	20
(40.0, 58.0]	18
Other values (10)	69

Length

Max length	15
Median length	14
Mean length	12.852792
Min length	10

Characters and Unicode

Total characters	2532
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	(97.6, 161.0]
2nd row	(97.6, 161.0]
3rd row	(21.0, 29.0]
4th row	(161.0, 345.0]
5th row	(161.0, 345.0]

Common Values

Value	Count	Frequency (%)
(345.0, 6993.0]	48	24.4%
(161.0, 345.0]	21	10.7%
(97.6, 161.0]	21	10.7%
(58.0, 97.6]	20	10.2%
(40.0, 58.0]	18	9.1%
(29.0, 40.0]	14	7.1%
(21.0, 29.0]	10	5.1%
(4.0, 6.0]	8	4.1%
(0.999, 2.0]	8	4.1%
(15.0, 21.0]	8	4.1%
Other values (5)	21	10.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
345.0	69	17.5%
6993.0	48	12.2%
161.0	42	10.7%
97.6	41	10.4%
58.0	38	9.6%
40.0	32	8.1%
29.0	24	6.1%
21.0	18	4.6%
15.0	15	3.8%
2.0	12	3.0%
Other values (6)	55	14.0%

Most occurring characters

Value	Count	Frequency (%)
.	394	15.6%
0	385	15.2%
(	197	7.8%
,	197	7.8%
	197	7.8%
]	197	7.8%
9	185	7.3%
6	142	5.6%
1	141	5.6%
3	123	4.9%
Other values (5)	374	14.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2532	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	394	15.6%
0	385	15.2%
(	197	7.8%
,	197	7.8%
	197	7.8%
]	197	7.8%
9	185	7.3%
6	142	5.6%
1	141	5.6%
3	123	4.9%
Other values (5)	374	14.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2532	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	394	15.6%
0	385	15.2%
(	197	7.8%
,	197	7.8%
	197	7.8%
]	197	7.8%
9	185	7.3%
6	142	5.6%
1	141	5.6%
3	123	4.9%
Other values (5)	374	14.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2532	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	394	15.6%
0	385	15.2%
(	197	7.8%
,	197	7.8%
	197	7.8%
]	197	7.8%
9	185	7.3%
6	142	5.6%
1	141	5.6%
3	123	4.9%
Other values (5)	374	14.8%

cluster_k5
Categorical

Constant

Distinct	1
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	12.7 KiB

2	197

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	197
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	197	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	197	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	197	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	197	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	197	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	197	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	197	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	197	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	197	100.0%

Interactions

Correlations

	Estado	TipoSocietario	antiguedad	cant_Apoderado	cant_MontoLimite	cant_antecedentes	cant_apercibimientos	cant_autenticado	cant_noAutenticado	cant_procesos_adjudicado	cant_representante	cant_sinMontoLimite	cant_socios	cant_suspensiones	dcant_procesos_adjudicado	dmonto_total_adjudicado	dtotal_articulos_provee	monto_total_adjudicado	periodo_preinscripcion	provincia	total_articulos_provee
Estado	1.000	0.363	0.175	0.000	0.000	0.000	0.000	0.229	0.000	0.000	0.000	0.000	0.000	0.106	0.134	0.300	0.130	0.000	0.211	0.353	0.000
TipoSocietario	0.363	1.000	0.310	0.188	0.000	0.000	0.094	0.000	0.000	0.000	0.298	0.035	0.453	0.000	0.000	0.156	0.280	0.432	0.267	0.389	0.000
antiguedad	0.175	0.310	1.000	0.015	0.000	0.074	0.000	0.000	0.039	0.000	0.000	0.000	0.049	0.044	0.000	0.121	0.119	0.000	0.997	0.327	0.000
cant_Apoderado	0.000	0.188	0.015	1.000	0.171	0.000	0.000	0.450	0.416	0.000	0.382	0.545	0.216	0.000	0.089	0.000	0.151	0.000	0.000	0.000	0.000
cant_MontoLimite	0.000	0.000	0.000	0.171	1.000	0.000	0.000	0.000	0.149	0.000	0.000	0.274	0.000	0.224	0.173	0.074	0.000	0.000	0.000	0.000	0.000
cant_antecedentes	0.000	0.000	0.074	0.000	0.000	1.000	0.422	0.000	0.000	-0.073	0.121	-0.103	-0.230	0.819	0.000	0.000	0.000	-0.187	0.134	0.246	0.129
cant_apercibimientos	0.000	0.094	0.000	0.000	0.000	0.422	1.000	0.060	0.000	0.000	0.091	0.041	0.080	0.384	0.154	0.000	0.041	0.000	0.000	0.000	0.082
cant_autenticado	0.229	0.000	0.000	0.450	0.000	0.000	0.060	1.000	0.000	0.000	0.376	0.621	0.109	0.000	0.000	0.147	0.000	0.000	0.000	0.185	0.000
cant_noAutenticado	0.000	0.000	0.039	0.416	0.149	0.000	0.000	0.000	1.000	0.000	0.161	0.570	0.201	0.000	0.000	0.000	0.223	0.101	0.000	0.000	0.000
cant_procesos_adjudicado	0.000	0.000	0.000	0.000	0.000	-0.073	0.000	0.000	0.000	1.000	0.000	0.042	-0.055	-0.108	0.000	0.000	0.000	0.668	-0.211	0.000	0.431
cant_representante	0.000	0.298	0.000	0.382	0.000	0.121	0.091	0.376	0.161	0.000	1.000	0.365	0.301	0.181	0.210	0.538	0.123	0.000	0.000	0.000	0.109
cant_sinMontoLimite	0.000	0.035	0.000	0.545	0.274	-0.103	0.041	0.621	0.570	0.042	0.365	1.000	0.297	-0.164	0.000	0.000	0.150	0.120	-0.146	0.000	-0.118
cant_socios	0.000	0.453	0.049	0.216	0.000	-0.230	0.080	0.109	0.201	-0.055	0.301	0.297	1.000	-0.256	0.105	0.000	0.143	0.262	-0.286	0.000	-0.057
cant_suspensiones	0.106	0.000	0.044	0.000	0.224	0.819	0.384	0.000	0.000	-0.108	0.181	-0.164	-0.256	1.000	0.107	0.178	0.000	-0.205	0.146	0.248	0.145
dcant_procesos_adjudicado	0.134	0.000	0.000	0.089	0.173	0.000	0.154	0.000	0.000	0.000	0.210	0.000	0.105	0.107	1.000	0.343	0.191	0.000	0.000	0.141	0.000
dmonto_total_adjudicado	0.300	0.156	0.121	0.000	0.074	0.000	0.000	0.147	0.000	0.000	0.538	0.000	0.000	0.178	0.343	1.000	0.021	0.000	0.073	0.157	0.000
dtotal_articulos_provee	0.130	0.280	0.119	0.151	0.000	0.000	0.041	0.000	0.223	0.000	0.123	0.150	0.143	0.000	0.191	0.021	1.000	0.268	0.097	0.167	0.000
monto_total_adjudicado	0.000	0.432	0.000	0.000	0.000	-0.187	0.000	0.000	0.101	0.668	0.000	0.120	0.262	-0.205	0.000	0.000	0.268	1.000	-0.263	0.000	0.193
periodo_preinscripcion	0.211	0.267	0.997	0.000	0.000	0.134	0.000	0.000	0.000	-0.211	0.000	-0.146	-0.286	0.146	0.000	0.073	0.097	-0.263	1.000	0.322	-0.024
provincia	0.353	0.389	0.327	0.000	0.000	0.246	0.000	0.185	0.000	0.000	0.000	0.000	0.000	0.248	0.141	0.157	0.167	0.000	0.322	1.000	0.000
total_articulos_provee	0.000	0.000	0.000	0.000	0.000	0.129	0.082	0.000	0.000	0.431	0.109	-0.118	-0.057	0.145	0.000	0.000	0.000	0.193	-0.024	0.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	CUIT	Nombre	FechaPreinscripcion	Estado	TipoSocietario	periodo_preinscripcion	anio_preinscripcion	cant_procesos_adjudicado	monto_total_adjudicado	antiguedad	provincia	cant_socios	cant_apercibimientos	cant_suspensiones	cant_antecedentes	cant_Apoderado	cant_representante	cant_autenticado	cant_noAutenticado	cant_sinMontoLimite	cant_MontoLimite	total_articulos_provee	dmonto_total_adjudicado	dcant_procesos_adjudicado	dtotal_articulos_provee	cluster_k5
2	30711500363	LICICOM S.R.L.	15/09/2016	Inscripto	Sociedad Responsabilidad Limitada	201609	2016	22.0	7.425067e+06	5.0	Ciudad Autónoma de Buenos Aires	2.0	1.0	2.0	4.0	2.0	1.0	2.0	1.0	3.0	0.0	105.0	(6702697.888, 9424898.401]	(19.0, 39.0]	(97.6, 161.0]	2
23	30590151013	VIDITEC S.A..	22/07/2016	Inscripto	Sociedad Anónima	201607	2016	47.0	2.714623e+07	5.0	Ciudad Autónoma de Buenos Aires	5.0	1.0	0.0	1.0	1.0	0.0	1.0	0.0	1.0	0.0	113.0	(19975532.58, 30451916.51]	(39.0, 1214.0]	(97.6, 161.0]	2
24	30678561165	NACION SEGUROS S.A.	15/11/2016	Inscripto	Sociedad Anónima	201611	2016	1102.0	6.933819e+09	5.0	Ciudad Autónoma de Buenos Aires	5.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	1.0	0.0	26.0	(222964579.98, 46172150151.0]	(39.0, 1214.0]	(21.0, 29.0]	2
29	30591267759	ERRE-DE SRL	02/08/2016	Inscripto	Sociedad Responsabilidad Limitada	201608	2016	340.0	1.379889e+08	5.0	Buenos Aires	2.0	1.0	0.0	1.0	3.0	0.0	1.0	2.0	2.0	1.0	226.0	(89439449.702, 222964579.98]	(39.0, 1214.0]	(161.0, 345.0]	2
35	30702024834	Datastar Argentina S.A.	09/09/2016	Inscripto	Sociedad Anónima	201609	2016	111.0	3.182254e+09	5.0	Ciudad Autónoma de Buenos Aires	2.0	1.0	0.0	1.0	2.0	2.0	2.0	2.0	4.0	0.0	207.0	(222964579.98, 46172150151.0]	(39.0, 1214.0]	(161.0, 345.0]	2
39	30623295946	LAVIERI HNOS DE LAVIERI SEBASTIAN GABRIEL LAVIERI ALEJANDRO CARLOS.	29/09/2016	Inscripto	Sociedades De Hecho	201609	2016	22.0	7.831100e+06	5.0	Ciudad Autónoma de Buenos Aires	2.0	1.0	0.0	1.0	0.0	2.0	2.0	0.0	2.0	0.0	37.0	(6702697.888, 9424898.401]	(19.0, 39.0]	(29.0, 40.0]	2
60	30673249902	LOMAS DEL SOL SRL	21/10/2016	Suspendido	Sociedad Responsabilidad Limitada	201610	2016	27.0	1.375720e+09	5.0	San Juan	2.0	0.0	4.0	4.0	1.0	0.0	1.0	0.0	1.0	0.0	602.0	(222964579.98, 46172150151.0]	(19.0, 39.0]	(345.0, 6993.0]	2
85	30714236888	NANOTEC S.R.L.	30/09/2016	Inscripto	Sociedad Responsabilidad Limitada	201609	2016	12.0	7.242921e+06	5.0	Ciudad Autónoma de Buenos Aires	2.0	1.0	0.0	1.0	1.0	0.0	1.0	0.0	1.0	0.0	160.0	(6702697.888, 9424898.401]	(8.0, 12.0]	(97.6, 161.0]	2
89	30710362218	Licenciasonline SA	13/09/2016	Inscripto	Sociedad Anónima	201609	2016	1.0	8.607014e+07	5.0	Ciudad Autónoma de Buenos Aires	4.0	1.0	0.0	1.0	1.0	1.0	1.0	1.0	2.0	0.0	3.0	(46718747.516, 89439449.702]	(0.999, 2.0]	(2.0, 3.0]	2
103	30710828608	INFORMÁTICA PALMAR SRL	04/10/2016	Inscripto	Sociedad Responsabilidad Limitada	201610	2016	143.0	6.447596e+07	5.0	Ciudad Autónoma de Buenos Aires	2.0	1.0	0.0	1.0	0.0	2.0	1.0	1.0	2.0	0.0	37.0	(46718747.516, 89439449.702]	(39.0, 1214.0]	(29.0, 40.0]	2

	CUIT	Nombre	FechaPreinscripcion	Estado	TipoSocietario	periodo_preinscripcion	anio_preinscripcion	cant_procesos_adjudicado	monto_total_adjudicado	antiguedad	provincia	cant_socios	cant_apercibimientos	cant_suspensiones	cant_antecedentes	cant_Apoderado	cant_representante	cant_autenticado	cant_noAutenticado	cant_sinMontoLimite	cant_MontoLimite	total_articulos_provee	dmonto_total_adjudicado	dcant_procesos_adjudicado	dtotal_articulos_provee	cluster_k5
6894	20271824638	Albano Equipamientos	24/08/2018	Inscripto	Persona Física	201808	2018	3.0	2.859164e+06	3.0	Buenos Aires	0.0	1.0	0.0	1.0	1.0	0.0	1.0	0.0	1.0	0.0	45.0	(2483085.385, 3396600.0]	(2.0, 3.0]	(40.0, 58.0]	2
7046	30711958181	DEL BIANCO ELECTRONICA S.A.	13/03/2017	Inscripto	Sociedad Anónima	201703	2017	3.0	2.405506e+05	4.0	Ciudad Autónoma de Buenos Aires	3.0	1.0	2.0	3.0	0.0	3.0	3.0	0.0	3.0	0.0	319.0	(224078.198, 377939.298]	(2.0, 3.0]	(161.0, 345.0]	2
7387	30708351187	AR TECHNOLOGY S.R.L.	28/06/2018	Inscripto	Sociedad Responsabilidad Limitada	201806	2018	5.0	8.783142e+06	3.0	Ciudad Autónoma de Buenos Aires	2.0	1.0	0.0	1.0	0.0	1.0	1.0	0.0	1.0	0.0	22.0	(6702697.888, 9424898.401]	(4.0, 5.0]	(21.0, 29.0]	2
8150	30715995979	DESARROLLOS URBANOS RIO DE LA PLATA SRL	16/09/2020	Inscripto	Sociedad Responsabilidad Limitada	202009	2020	18.0	2.095676e+08	1.0	Ciudad Autónoma de Buenos Aires	2.0	1.0	0.0	1.0	0.0	1.0	1.0	0.0	1.0	0.0	18.0	(89439449.702, 222964579.98]	(12.0, 19.0]	(15.0, 21.0]	2
8165	30709585831	SECON SECURITY CONCEPT SA	11/04/2017	Inscripto	Sociedad Anónima	201704	2017	1.0	1.326591e+07	4.0	Buenos Aires	2.0	1.0	0.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	102.0	(9424898.401, 13557176.81]	(0.999, 2.0]	(97.6, 161.0]	2
8956	27181287077	FABIANA SANDRA CORTES	10/04/2017	Inscripto	Persona Física	201704	2017	13.0	1.682270e+07	4.0	Buenos Aires	0.0	1.0	7.0	8.0	1.0	0.0	1.0	0.0	1.0	0.0	254.0	(13557176.81, 19975532.58]	(12.0, 19.0]	(161.0, 345.0]	2
8957	A28006104	AIRBUS DEFENCE AND SPACE S.A.	21/06/2019	Pre Inscripto	Persona Jurídica Extranjero Sin Sucursal	201906	2019	3.0	8.494348e+04	2.0	Extranjera	1.0	1.0	0.0	1.0	2.0	0.0	2.0	0.0	2.0	0.0	14.0	(33011.111, 104767.373]	(2.0, 3.0]	(11.0, 15.0]	2
9237	214349010016	FARINTO S.A.	05/07/2019	Pre Inscripto	Persona Jurídica Extranjero Sin Sucursal	201907	2019	0.0	0.000000e+00	2.0	Extranjera	1.0	1.0	0.0	1.0	1.0	0.0	1.0	0.0	1.0	0.0	6.0	NaN	NaN	(4.0, 6.0]	2
9504	30716582082	BATERIAS ECOBAT S.A.S	16/10/2020	Inscripto	Otras Formas Societarias	202010	2020	1.0	8.288520e+05	1.0	San Juan	1.0	1.0	0.0	1.0	0.0	1.0	1.0	0.0	1.0	0.0	1.0	(599760.0, 890758.9]	(0.999, 2.0]	(0.999, 2.0]	2
9783	30707835563	SUTEL S.R.L.	25/08/2016	Inscripto	Sociedad Responsabilidad Limitada	201608	2016	2.0	3.889114e+06	5.0	Buenos Aires	2.0	0.0	2.0	2.0	0.0	1.0	1.0	0.0	1.0	0.0	329.0	(3396600.0, 4727330.113]	(0.999, 2.0]	(161.0, 345.0]	2

Overview

Variables

Most occurring characters

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Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)